Magnus Aleaxander Bitsch

November 2022

Personal Information

Born Copenhagen, Denmark, October 12th 1990
Adress Fredericiagade 21D, st., 1310 Copenhagen K
Email magnusbitsch@gmail.com
Website LinkedIn
Phone +45 26 30 48 94

Goal

I am a self-motivated and problem solving individual who is always keen to learn and improve skills.

Data Science

A degree in mathematical modelling and computation as an engineer combined with work experience in Data Science both internal and as a consultant has provided me with the skill set to model any data you throw at me through a wide variety of mathematical and statistical tools which I always seek to improve.

American Football

Playing american football at the top level in Denmark as a captain of the Copenhagen Towers and the Danish National Team has embraced my natural leadership abilities and taught me how to be a team player.

Skills

Algorithms	DevOps	Stakeholder Management
\(\bullet\) Machine Learning	\(\bullet\) Azure	\(\bullet\) Natural Leader - Team Captain
\(\bullet\) Interpretable Machine Learning	\(\bullet\) MLOps	\(\bullet\) Communication to nontechnical
\(\bullet\) Deep Learning	\(\bullet\) Git	\(\bullet\) Self-motivated
\(\bullet\) Time Series Analysis	\(\bullet\) CI/CD	\(\bullet\) Problem Solving
\(\bullet\) Statistical Modelling	\(\bullet\) Docker	\(\bullet\) Keen to learn and improve skills

Education

Masters of Mathematical Modelling and Computation

2014 - 2016 The Technical University of Denmark, Lyngby

GPA: 11.3 - Master (MSc) / Civilingeniør, cand. polyt.

Focus areas: Industrial and applied statistics, and Stochastic dynamical modelling
Thesis: Statistical Learning for Energy Informatics (Grade: 12 (A))
Description: Applied mathematics and mathematical modelling as well as use of modern computer equipment and analysis of large data volumes. A Strong foundation in industrial statistics techniques such as design of experiments, statistical process control, process capability analysis, reliability analysis, etc. Tools in analyzing and modelling dynamical systems based on available time series of data which can be applied within important areas like finance, pharmaceutics, biology, and energy production (wind, solar, ..).
Link: Mathematical Modelling and Computation

Bachelor of Mathematics and Technology

2010 - 2014 The Technical University of Denmark, Lyngby

GPA: 7.9 - Bachelor (BEng and BSc)

Description: Sound mathematical foundations and experience in developing and running mathematical models in different fields.
Thesis: Prediction of Real Estate Prices (Grade: 10 (B))
Link: Mathematical Modelling and Computation

Exchange Student, 1 Semester

Fall 2012 Oregon State University, Oregon, USA

Description: Exchange through DTU.

HTX Sukkertoppen

2006 – 2010 HTX Sukkertoppen, Valby

Description: High School (Gymnasium).

Waynesfield Goshen High School

2007/2008 Waynesfield Goshen High School, Ohio, USA

Description: High School, 11th grade ”Junior year”. Exchange through YFU.

Work Experience

Senior Data Science Architect

2022 - Kapacity A/S, Copenhagen

Area: Kapacity AI
Description: Working with predictive modelling, statistics, data mining, machine learning and deep learning primarily using the Azure cloud platform. Framework for comparing and selecting output from competing models in production. Primary areas: Churn, cross-sales, CLV.

Converting Machine Learning and advanced statistical analysis into concrete data products targeted at various businesses.
A Senior Data Science Architect has several years of experience deploying Data Science models in production in customer environments, both on premise and Azure cloud. The have broad and deep experience with Data Science methods, tools and algorithms and know how to deploy each of these models to production. They can facilitate a business discussion and design the data science architecture to match customers’ requirements to data environment.
The profile secures that team members and colleagues are up to date on Kapacitys Best Practice for implementing. Data Science methods, based on i.e infrastructure-as-code, CI/CD pipelines, DevOps methods, Docker containers and virtual analysis environments.
Link: Kapacity

Senior Data Scientist

2019 - 2022 Kapacity A/S, Copenhagen

Area: Kapacity AI
Description: Senior data scientist in BI consultancy. Working with predictive modelling, statistics, data mining, machine learning and deep learning primarily using the Azure cloud platform. Framework for comparing and selecting output from competing models in production. Primary areas: Churn, cross-sales, CLV.

Converting Machine Learning and advanced statistical analysis into concrete data products targeted at various businesses.
A Senior Data Science Architect has several years of experience in putting Data Science models into production on the customer’s environment, whether on-premise or Azure cloud. They have a broad understanding of Data Science methods, tools and algorithms and know processes with production setting of models within each. They know how to drive the business dialogue and to adapt the setup of the data science architecture to the customer’s other wishes for the data environment.
The profile actively works to ensure that employees and colleagues seek knowledge and sparring relationships regarding Kapacity’s Best Practice implementation within Data Science methods, which are based on the use of infrastructure-as-code, CI/CD pipelines, DevOps methods, Docker containers and virtual analysis environments.
Link: Kapacity

Chapter Lead and Senior Data Scientist

2019 - 2019 Nuuday (TDC Group), Copenhagen

Area: Commercial Data Science
Description: Chapter lead and senior data scientist supervising 8 data scientist and collaborating with stakeholders. Working with predictive modelling, statistics, data mining, machine learning and deep learning. Framework for comparing and selecting output from competing models in production. Primary areas: Churn, cross-sales, CLV, maintaining models in production.
Reference: Jonas Munk | jmu@nuuday.dk
Link: TDC Group

Data Scientist

2016 - 2019 TDC Group, Copenhagen

Area: AI & Robotics
Description: Working with predictive modelling, statistics, data mining, machine learning and deep learning. Framework for comparing and selecting output from competing models in production. Primary areas: Churn, cross-sales, CLV, invoice classification, maintaining models in production, supervising junior data scientists and collaborating with stakeholders.
Reference: Jonas Munk | jmu@nuuday.dk
Link: TDC Group

Student Data Analyst

2015 – 2016 The Technical University of Denmark, Lyngby

Area: DTU Statistical Consulting Center
Description: Developing statistical reports for internally and externally use in collaboration with professors in the Department of Applied Mathematics and Computer Science.
Reference: Bjarne Kjær Ersbøll | bker@dtu.dk

Student Employee

2013 – 2015 MEGAFON, Frederiksberg

Area: Data
Description: In the department of data I set up of questionnaires for online or phone interviews. Furthermore, I tested ongoing questionnaires and created reports based on completed questionnaires. Smaller tasks included maintaining databases, weighting of questionnaire answers and overseeing the completion of questionnaires.
Reference: Ulrik S. Nielsen | usn@megafon.dk
Link: MEGAFON

Math Teacher

2011 – 2014 KEA, Copenhagen

Area: Københavns Erhvervs Akademi
Description: Three semesters of teaching 1st year math for electricians who studied to become qualified electricians.

Computer Skills

Advanced

Intermediate

Basic

Matlab | SAS | Java | C

Articles

Wolf et al., 2019

2019 A markov-switching model for building occupant activity estimation.

Wolf, S., Møller, J. K., Bitsch, M. A., Krogstie, J., & Madsen, H. (2019). A Markov-Switching model for building occupant activity estimation. Energy and Buildings, 183, 672-683. https://doi.org/10.1016/j.enbuild.2018.11.041

Lange et al., 2016

2016

Symptoms and quality of life in patients with chronic obstructive pulmonary disease treated with aclidinium in a real-life setting.

Lange, Peter & Godtfredsen, Nina & Olejnicka, Beata & Paradis, Bo-Anders & Curiac, Dan & Humerfelt, Sjur & Telg, Gunilla & Christensen, Helene & Bitsch, Magnus & Andersen, Elisabeth & Bjermer, Leif. (2016). Symptoms and quality of life in patients with chronic obstructive pulmonary disease treated with aclidinium in a real-life setting. European Clinical Respiratory Journal. 3. 10.3402/ecrj.v3.31232.

Other Information

Exchange Student

Fall 2012 Oregon State University

2007/2008 Waynesfield Goshen High School (Jr./11th grade), Ohio, USA

Languages

Danish: Mothertongue
English: Full professional proficiency
Deutsch: Basic (simple words and phrases only)

Interests

American football | Sports in general | Challenges

Awards

Copenhagen Towers American Football

2012 - Team Captain

2022 National Champion

2021 National Champion

2019 National Champion (2nd)

2018 National Champion

2017 National Champion, Most Valuable Player (Team), Most Valuable Player (Mermaid Bowl - National Championship)

2016 National Champion (2nd)

2014 National Champion, Best Defensive Player (Team)

2013 National Champion, Most Valuable Player (Team)

2011 Best Defensive Player (Team)

Danish National Team American Football

2016 - Team Captain

2018 European Championship (6th)

2014 European Championship (6th)

2013 European Championship (1st) (B-group)